Reference no: EM132977816

Question 1: What problem did customer service cancellation pose to AT's business survival?

Question 2: Identify and explain the technical hurdles presented by the nature and characteristics of AT's data.

Question 3: What is sessionizing? Why was it necessary for AT to sessionize its data?

Question 4: Research other studies where customer churn models have been employed. What types of variables were used in those studies? How is this vignette different?

Besides Teradata Vantage, identify other popular Big Data analytics platforms that could handle the analysis described in the preceding case.

Please read below to answer the question for the opening Vignette

A telecom company (named Access Telecom [AT] for privacy reasons) wanted to stem the tide of customers churning from its telecom services. Customer churn in the telecommunications industry is common. However, Access Telecom was losing customers at an alarming rate. Several reasons and potential solutions were attributed to this phenomenon. The management of the company realized that many cancellations involved communications between the customer service department and the customers. To this end, a task force comprising members from the customer relations office and the information technology (IT) department was assembled to explore the problem further. Their task was to explore how the problem of customer churn could be reduced based on an analysis of the customers' communication patterns (Asamoah, Sharda, Zadeh, & Kalgotra, 2016).